Partner Applied AI Engineer, Oracle and Cloud ISV

Details

The Applied AI Engineering team helps developers and enterprises deploy generative AI safely and effectively. The team serves as a trusted technical advisor, helping customers and partners move from early experimentation to production-scale AI systems.

As a Partner Applied AI Engineer focused on Cloud ISVs, you will work with Oracle Cloud, Snowflake, and Databricks to help customers adopt OpenAI. You will bring OpenAI capabilities to the applications, data platforms, and developer workflows customers already use, then turn successful deployments into approaches that field and partner teams can deliver independently.

Responsibilities

Strategic Partner Engagement and Influence

• Build relationships with Oracle, Snowflake, and Databricks field leaders and technical teams.
• Shape joint account plans, identify customer problems each partner can help solve, and prioritize opportunities with a clear path to production and reuse.
• Work with Oracle sellers on eligible, sales-managed Oracle Marketplace private offers for OpenAI API models, ChatGPT Work, and Codex.
• Distinguish procurement, billing, and eligible commitment drawdown from OpenAI-managed product access, inference, and support.
• Where customers build on OCI, design application and data integrations without assuming that the model is hosted on OCI.
• Work with Snowflake account and technical teams to qualify data and AI workloads where OpenAI models in Snowflake Cortex AI are a fit.
• Help customers evaluate use cases such as AI functions over governed data, search, analytics, and agents.
• Confirm model and regional availability, data boundaries, and operating requirements.
• Work with Databricks sellers and solution architects on developer workflows with Codex and Unity AI Gateway, enterprise insights with ChatGPT and Genie where supported, and GPT-powered applications and agents with Mosaic AI Model Serving, Agent Bricks, and Databricks Apps.
• Validate each route against customer governance and deployment requirements, and distinguish partner-billed usage from direct OpenAI billing.

Complex Deal Leadership and Execution

• Lead technical discovery, architecture, prototyping, evaluation, and production readiness.
• Align account teams on what the customer will deploy, how success will be verified, and who owns the next step.
• Validate model and feature availability, identity and network boundaries, data handling and residency, capacity, metering, and support ownership.
• Work with Alliances, Sales, and Billing Operations on technical readiness without owning pricing, terms, offer acceptance, or billing approvals.

Solution Architecture and Hands-On Building

• Build reference implementations with OpenAI APIs and partner-native capabilities, including OCI application and data services, Snowflake Cortex AI, and Databricks Mosaic AI Model Serving.
• Use the appropriate integration path for each workload and validate permissions and data movement before deployment.
• Establish evaluation, observability, and deployment practices to measure quality, safety, reliability, latency, cost, and real-world workload usage.

Ecosystem Enablement and Scale

• Create demos, workshops, reference architectures, and playbooks for partner engineers, field teams, and systems integrators.
• Pair on early deployments, then hand off proven patterns with clear prerequisites and support paths.

Cross-Functional Leadership and Feedback

• Work with Alliances, Sales, Product, Engineering, and Enablement to resolve blockers.
• Turn account patterns into evidence-backed product feedback.
• Keep field guidance current regarding supported, limited, and unavailable capabilities.

Requirements

• Substantial experience leading technical engagements with enterprise engineering and business leaders across pre-sales and post-sales.
• Hands-on depth in at least one of OCI, Snowflake, or Databricks, with the ability to build credible architectures across the others.
• Understanding of enterprise data governance and production integration of OpenAI products.
• Ability to build in Python or a comparable language.
• Practical experience with APIs, retrieval, tool use, LLM evaluation, and secure cloud deployments.
• Ability to explain how workloads are purchased, accessed, served, metered, and supported without conflating those decisions.
• Ability to build trust across sales and engineering and measure success through customer adoption and partner self-sufficiency.

Benefits

• Base pay range of $197,000–$278,000 per year.
• Equity and performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, office closures, and paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.

OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law.